ko
werf
Our great sponsors
ko | werf | |
---|---|---|
28 | 15 | |
7,250 | 3,912 | |
4.0% | 1.3% | |
9.1 | 9.8 | |
5 days ago | 4 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ko
-
Distroless container images with Apko from Chainguard
Apko leverages the APK package format from Alpine and draws inspiration from ko, a fast container image builder for Go applications.
-
What is the most common approach to configure a backend app?
- There're many resources available about containerizing an application, but I suggest you buildpacks or ko, which doesn't require writing a Dockerfile
-
Tool to build Docker images
ko
- how to create container for Kubernetes?
-
Golang Backend in Production
You don't need to write and manage Dockerfiles. Simply just use ko: https://github.com/google/ko (You also don't need Docker Engine)
-
How to containerize your Go app in 10 minutes!
Or don't write a Dockerfile at all, and use ko: https://github.com/google/ko
-
Containerd... Do I use Docker to build the container image? I miss the Docker Shim
Here is link number 1 - Previous text "ko"
-
HOWTO: Generate Go based multiarch images the easy way
It depends on your use case, but have you ever tried google/ko?
-
`COPY --chmod` reduced the size of my container image by 35%
If you're using Go, I recommend https://github.com/google/ko (shameless plug), or for Java, use Jib.
-
`COPY –chmod` reduced the size of my container image by 35%
I would recommend Google Ko if you are packaging Go apps: https://github.com/google/ko
werf
-
Is there a CD solution that can be (painlessly) fully automated between stages?
I am looking as well for this kind of tool. I just took a look today by exploring the CNCF landscape this tool : https://werf.io/ , I haven't used it, but it seems to take care of painful stuff like automatic versioning for example. (If someone here tried it, I will be happy to listen to your feedbacks)
-
Phabricator replacement? | Or OpenProject alternative? | issue tracking/code
Werf - um ok
-
Top 200 Kubernetes Tools for DevOps Engineer Like You
HybridK8s Droid - Intelligence foor your favourite Delivery Platform Devtron - Software Delivery Workflow for Kubernetes Skaffold - Easy and Repeatable Kubernetes Development Apollo - Apollo - The logz.io continuous deployment solution over kubernetes Helm Cabin - Web UI that visualizes Helm releases in a Kubernetes cluster flagger - Progressive delivery Kubernetes operator (Canary, A/B Testing and Blue/Green deployments) Kubeform - Kubernetes CRDs for Terraform providers https://kubeform.com Spinnaker - Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence. http://www.spinnaker.io/ werf - GitOps tool to deliver apps to Kubernetes and integrate this process with GitLab and other CI tools Flux - GitOps Kubernetes operator Argo CD - Declarative continuous deployment for Kubernetes Tekton - A cloud native continuous integration and delivery (CI/CD) solution Jenkins X - Jenkins X provides automated CI+CD for Kubernetes with Preview Environments on Pull Requests using Tekton, Knative, Lighthouse, Skaffold and Helm KubeVela - KubeVela works as an application delivery control plane that is fully decoupled from runtime infrastructure ksonnet - A CLI-supported framework that streamlines writing and deployment of Kubernetes configurations to multiple clusters CircleCI - A cloud-based tool that helps build continuous integration and continuous delivery pipelines to Kubernetes.
-
Deployment Watching Tool
Check out https://werf.io/ tool. It features giterminism which is somewhat similar to gitops, but it does not require pull model. Giterminism aims to improve reproducibility of your build and deploy configuration. werf also features content-based-tagging out of the box, which allows creating immutable images, stored in the container-registry, shared between multiple runners (werf uses distributed locking to prevent overriding image which is already published). Giterminism and content-based-tagging enables easy rollbacks to any git-commit in the history of your project. By design werf could be embedded into any ci/cd system.
-
werf is a CLI tool for implementing CI/CD with Kubernetes; its v1.2 became stable
Rename of dapp to werf was in Jan'19 to be precise (https://github.com/werf/werf/pull/1213).
- Werf
-
11 Open Source Kubernetes Ci Cd Tools To Improve Your Devops
Werf
-
Alternative to helmfile that works well with Github Actions
You can try werf, it has Helm under the hood and there are github actions available for it: https://github.com/werf/actions
-
werf as [yet another] way to build Docker images
As you know, there's plenty of tools that can be used to build your Docker images, besides the docker build itself. werf is an Open Source project with a long history (started in 2016 as a simple wrapper around Docker CLI). Still being a CLI tool, today it is focused not just on the building but also delivering these images to Kubernetes — and this is what makes it really different.
- Podman: A tool for managing OCI containers and pods
What are some alternatives?
kaniko - Build Container Images In Kubernetes
argo-cd - Declarative Continuous Deployment for Kubernetes
Pomerium - Pomerium is an identity and context-aware reverse proxy for zero-trust access to web applications and services.
flux2 - Open and extensible continuous delivery solution for Kubernetes. Powered by GitOps Toolkit.
golang-sample-app - Example application with Golang and Docker
terraform-controller - Use K8s to Run Terraform
Packer - Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.
Dockerfile-Generator - dfg - Generates dockerfiles based on various input channels.
Fabric - Simple, Pythonic remote execution and deployment.
distroless - 🥑 Language focused docker images, minus the operating system.
fleet - Deploy workloads from Git to large fleets of Kubernetes clusters